Comprehensive End-to-End Manufacturing Solutions
For top manufacturing companies, AiPanthers provides state-of-the-art computer vision solutions.
Boost Productivity and Protect Employees
Computer vision is redefining manufacturing, from package inspection and predictive maintenance to defect minimization and increased worker safety.
Defect Detection
Track and Trace
Safety Compliance
Gauge Reading
Make a Trained Model in Just a Few Hours Rather than Weeks
Integrating AiPanthers with top labeling services and training resources is simple.
Accelerate Production Processes
Make quick work of identifying product and packaging flaws with computer vision. Computer vision can greatly increase your profitability by lowering recalls and improving product quality.
Computer Vision, AI, and Robotics
Through the integration of computer vision with robots and artificial intelligence, we enable manufacturers to maximize machine performance for tasks like assembly, picking, placing, and quality control.
Continue to Improve Your Model After Deployment
With AiPanthers, you can deploy and grow your models as you collect additional data because it acts as a centralized management platform for your datasets. Identify and classify errors with ease, modify settings, and investigate other labeling and training options.
Improve model performance with minimal data.
AiPanthers: Unleashing the Potential of Your Training Data
Static Crop
Divide your high-resolution photos into smaller parts. This preprocessing step improves your model's capacity to detect minute items, patterns, and fine details, which is necessary for successful plant identification.
Augmentations
To simulate various lighting, camera, or contrast settings, create augmented versions of your source photos. You won't have to upload more photos in order to increase the amount of training data you have.
Version Control
Versions of the dataset allow for rapid testing of various labeling and training techniques. Just make the necessary changes, create the export, and carry on working.
Advanced Health Check
Class balance distribution, dimensional analysis, and an annotation heat map are examples of useful charts that provide insights into the quality of your dataset and prospects for development.